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Abstract #4223

Contrast Enhanced Image Registration Using Kullbach-Leibler Assisted Image Matching and Patching (KLAMP)

Andrew Melbourne1, David Collins2, Martin Leach2, Dow-Mu Koh1, David Hawkes1, David Atkinson1

1University College London, London, UK; 2Institute of Cancer Research, London, UK

Contrast Enhanced MRI data often consists of frames with large changes in pixel intensity values. Image alignment algorithms may incorrectly shrink enhancing features. If there are features in the joint image histogram used for image registration between pre and post enhancement images that are due to enhancement processes, we seek to minimise those changes by comparison with a joint image histogram containing only motion artefacts. The post enhancement image is masked so that enhancing pixels do not impact on the formation of image force gradients such as those used in fluid registration. Suppression of force gradients formed by enhancing features reduces the risk of mis-registration in these.